A Possibilistic Approach for Uncertainty Representation and Propagation in Similarity-Based Prognostic Health Management Solutions | Zendy

Loredana Cristaldi | Zendy; Alessandro Ferrero | Zendy; Simona Salicone | Zendy; Giacomo Leone | Zendy

Open Access

A Possibilistic Approach for Uncertainty Representation and Propagation in Similarity-Based Prognostic Health Management Solutions

Author(s) -

Loredana Cristaldi,

Alessandro Ferrero,

Simona Salicone,

Giacomo Leone

Publication year - 2020

Publication title -

open journal of statistics

Language(s) - English

Resource type - Journals

eISSN - 2161-7198

pISSN - 2161-718X

DOI - 10.4236/ojs.2020.106058

Subject(s) - propagation of uncertainty , representation (politics) , computer science , novelty , monte carlo method , process (computing) , uncertainty analysis , data mining , uncertainty quantification , fuzzy logic , computation , sensitivity analysis , similarity (geometry) , noise (video) , stochastic process , reliability engineering , machine learning , artificial intelligence , algorithm , mathematics , statistics , engineering , simulation , philosophy , theology , politics , political science , law , image (mathematics) , operating system

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